A Procedure to Assess Interviewer Effects on Nonresponse Bias
It is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or respondent set, and consequently introduce nonrespons...
Main Authors: | , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2014-02-01
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Series: | SAGE Open |
Online Access: | https://doi.org/10.1177/2158244014526211 |
_version_ | 1818406301727719424 |
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author | Geert Loosveldt Koen Beullens |
author_facet | Geert Loosveldt Koen Beullens |
author_sort | Geert Loosveldt |
collection | DOAJ |
description | It is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or respondent set, and consequently introduce nonresponse bias. To measure these two different aspects of the obtained sample, response propensities will be used. They have an aggregate mean and variance that can both be used to construct quality indicators for the obtained sample of respondents. As these propensities can also be measured on the interviewer level, this allows evaluation of the interviewer group and of the extent to which individual interviewers contribute to a biased respondent set. In this article, a procedure based on a multilevel model with random intercepts and random slopes is elaborated and illustrated. The results show that the procedure is informative to detect influential interviewers with an impact on nonresponse basis. |
first_indexed | 2024-12-14T09:09:46Z |
format | Article |
id | doaj.art-9e5183205c99436eb6239f0dd440b582 |
institution | Directory Open Access Journal |
issn | 2158-2440 |
language | English |
last_indexed | 2024-12-14T09:09:46Z |
publishDate | 2014-02-01 |
publisher | SAGE Publishing |
record_format | Article |
series | SAGE Open |
spelling | doaj.art-9e5183205c99436eb6239f0dd440b5822022-12-21T23:08:35ZengSAGE PublishingSAGE Open2158-24402014-02-01410.1177/215824401452621110.1177_2158244014526211A Procedure to Assess Interviewer Effects on Nonresponse BiasGeert Loosveldt0Koen Beullens1KU Leuven, BelgiumKU Leuven, BelgiumIt is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or respondent set, and consequently introduce nonresponse bias. To measure these two different aspects of the obtained sample, response propensities will be used. They have an aggregate mean and variance that can both be used to construct quality indicators for the obtained sample of respondents. As these propensities can also be measured on the interviewer level, this allows evaluation of the interviewer group and of the extent to which individual interviewers contribute to a biased respondent set. In this article, a procedure based on a multilevel model with random intercepts and random slopes is elaborated and illustrated. The results show that the procedure is informative to detect influential interviewers with an impact on nonresponse basis.https://doi.org/10.1177/2158244014526211 |
spellingShingle | Geert Loosveldt Koen Beullens A Procedure to Assess Interviewer Effects on Nonresponse Bias SAGE Open |
title | A Procedure to Assess Interviewer Effects on Nonresponse Bias |
title_full | A Procedure to Assess Interviewer Effects on Nonresponse Bias |
title_fullStr | A Procedure to Assess Interviewer Effects on Nonresponse Bias |
title_full_unstemmed | A Procedure to Assess Interviewer Effects on Nonresponse Bias |
title_short | A Procedure to Assess Interviewer Effects on Nonresponse Bias |
title_sort | procedure to assess interviewer effects on nonresponse bias |
url | https://doi.org/10.1177/2158244014526211 |
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